Will a large complex system be productive?

Nie, Shipeng; Zheng, Junjie; Luo, Mingyu; Loreau, Michel; Gravel, Dominique; Wang, Shaopeng

doi:10.1111/ele.14242

Cited by 6 publications

(4 citation statements)

References 71 publications

(119 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Interactions among species are thus a key component of biodiversity, and biodiversity itself is the result of complex biotic interactions that are structured in species networks. In some case, it has also been found that EFs can change with changing the species interaction network (Nie et al., 2023), and this without any change in the species richness (Morrien et al., 2017). This result emphasises that assessing species interactions should be central when identifying and quantifying EFs (Poisot et al., 2013).…”

Section: From Biodiversity To Species Interaction Networkmentioning

confidence: 99%

A network prediction model to quantify relationship between biodiversity and ecosystem functioning (BEF)

Hou,

Fanin,

2023

Methods Ecol Evol

View full text Add to dashboard Cite

Biodiversity loss has a large impact on many ecosystem functions (EFs). It is urgent to quantify the effect of biodiversity loss on EFs, and much efforts are needed to determine quantitatively the relationship between biodiversity and ecosystem functions (BEF). In this review, we first summarised the mechanistic models commonly applied in current BEF studies, and proposed a new BEF model based on species interaction networks. The ‘network attenuation model’, which is built up by an unsaturated network, quantifies BEF. Then, the implication of network attenuation model for the scale dependence of BEF has been studied. Finally, the network attenuation model has been tested using data from the BIODEPTH project. We found that fitting models with the network attenuation model provided better results than other common fitting methods. The model fitting results revealed the scale dependence in BEF relationships, and demonstrated nonlinear changes in the BEF‐slope with the spatial scale. We conclude that the network attenuation model can be used as an alternative approach to estimate BEF, and the information from this model can provide meaningful guidance for the allocation of resources for conservation efforts worldwide. More efforts will be necessary assess the effect of biodiversity on various EFs as the importance of interactions among species and species richness may also vary over time.

show abstract

Section: From Biodiversity To Species Interaction Networkmentioning

confidence: 99%

A network prediction model to quantify relationship between biodiversity and ecosystem functioning (BEF)

Hou,

Fanin,

2023

Methods Ecol Evol

View full text Add to dashboard Cite

show abstract

“…And because the effects of introductions cascade through interaction networks, it is often difficult to predict whether they will reinforce or undermine the integrity of a given ecosystem [11,18,19]. Thus, attempting to artificially increase complexity can have unintended consequences [13,20,21] and entail trade-offs with other desirable system features, like resilience, robustness, or productivity [16,[22][23][24].…”

Section: More Complexity Is Not Always Bettermentioning

confidence: 99%

Comment on ‘In complexity we trust: learning from the socialist calculation debate for ecosystem management’

Bingham,

Van Kleunen,

Kolisnyk

et al. 2023

Environ. Res. Lett.

View full text Add to dashboard Cite

Using a metaphor based on a historical debate between socialist and free-market economists, Salliou and Stritih (Environ. Res. Lett. 18 151001) advocate for decentralizing environmental management to harness emergent complexity and promote ecosystem health. Concerningly, however, their account seems to leave little room for top-down processes like government-led sustainability programs or centrally-planned conservation initiatives, the cornerstone of the post-2020 biodiversity framework. While we appreciate their call for humbleness, we offer a few words in defense of planning. Drawing on evidence from ecology, economics, and systems theory, we argue that (1) more complexity is not always better; (2) even if it were, mimicking minimally-regulated markets is probably not the best way to get it; and (3) sophisticated decision support tools can support humble planning under uncertainty. We sketch a re-interpretation of the socialist calculation debate that highlights the role of synthesis and theoretical pluralism. Rather than abandoning big-picture thinking, scientists must continue the difficult work of strengthening connections between and across multiple social, ecological, and policy scales.

show abstract

“…Network complexity can be characterized by species richness, connectance and average interaction strength. 35,36 It is generally believed that stability increases as the number of links increases as complex communities can prevent the populations from over-explosive growth and species invasion. 37 Furthermore, weak interaction strengths may enhance species coexistence and increase temporal community stability.…”

Section: Introductionmentioning

confidence: 99%

No positive effects of biodiversity on ecological resilience of lake ecosystems

Su,

Li,

Zhong

et al. 2024

TIG

View full text Add to dashboard Cite

<p>Ecological resilience is critical for ecosystems to persist in the face of perturbations without shifting to a different state. Global biodiversity loss in multiple ecosystems is considered to be associated with decreasing ecological resilience and increasing the risk of ecosystem collapse. However, how temporal changes in biodiversity affect ecological resilience in natural ecosystems remains poorly elucidated. By analyzing subfossil records of diatoms, chironomids, and cladocerans from 53 lake sediment cores across the globe, we found that species richness showed an increasing trend with time, while beta diversity and ecological resilience presented a decreasing temporal trend when ecosystems are approaching the abrupt shift. Asynchronous fluctuations among species and temporal stability at species level are suggested to be the mechanisms that contribute to the maintenance of temporal community stability. We found species richness and beta diversity have positive effects on species asynchrony but negative effects on species stability. However, we found that species asynchrony and species stability had negative relationships with ecological resilience, with species richness and beta diversity overall having no positive effects on ecological resilience. We highlighted that biodiversity effects on ecological resilience are not only the role of species richness, but also the species assemblage and network complexity of species-species interactions. Our study indicates that increased species diversity and community heterogeneity may be not beneficial for the ecosystem to recover from disturbances at a lake ecosystem scale, which has great implications for the assessment of ecological resilience and predicting ecosystem collapse in future global environmental change scenarios.</p>

show abstract

Will a large complex system be productive?

Cited by 6 publications

References 71 publications

A network prediction model to quantify relationship between biodiversity and ecosystem functioning (BEF)

A network prediction model to quantify relationship between biodiversity and ecosystem functioning (BEF)

Comment on ‘In complexity we trust: learning from the socialist calculation debate for ecosystem management’

No positive effects of biodiversity on ecological resilience of lake ecosystems

Contact Info

Product

Resources

About